An asthma risk score using 7 clinically relevant parameters evaluated in a pediatric Medicaid managed care population can stratify risk for following-year asthma hospitalization. Objectives: ...
New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...
The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling ...
A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study ...
A study published in mBio, the online open-access journal of the American Society for Microbiology, may help create a test to predict which hospital patients are at the highest risk of developing a ...
An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...
NASHUA, N.H., June 26, 2024 (GLOBE NEWSWIRE) -- iCAD, Inc. (ICAD), a global leader in clinically proven AI-powered cancer detection solutions, today announced it will highlight new research ...
Researchers at the Johns Hopkins Kimmel Cancer Center and the Department of Gynecology and Obstetrics at the Johns Hopkins University School of Medicine have developed an algorithm to identify ...
PARIS, France—Using a simple, automated algorithm can reduce wait times for TAVI without increasing rates of morbidity or mortality, according to a new analysis. “For us, this was drawn out of ...
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